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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1611–1620 of 1729 papers

TitleStatusHype
The WEAVE Corpus: Annotating Synthetic Chemical Procedures in Patents with Chemical Named EntitiesCode0
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual TransferCode0
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NERCode0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource LanguagesCode0
Semi-Supervised Disentangled Framework for Transferable Named Entity RecognitionCode0
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity RecognitionCode0
Semi-supervised Named Entity Recognition in noisy-textCode0
Semi-supervised sequence tagging with bidirectional language modelsCode0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
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